Machine Learning Models to Classify Normal and Fibrotic Mouse Liver Model using Dielectric Properties

Poulami Samaddar; Poushali Samadder; Bhavana Baraskar; Priyanka Anvekar; Shalil Khanal; Sunil Gaddam; Sayan Roy; Dipankar Mitra; Enis Kostallari; Shivaram P. Arunachalam

doi:10.1109/BIBM55620.2022.9995397

Machine Learning Models to Classify Normal and Fibrotic Mouse Liver Model using Dielectric Properties

Poulami Samaddar, Poushali Samadder, Bhavana Baraskar, Priyanka Anvekar, Shalil Khanal, Sunil Gaddam, Sayan Roy, Dipankar Mitra, Enis Kostallari, Shivaram P. Arunachalam

Gastroenterology and Hepatology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this work dielectric permittivity was used to classify between normal and fibrotic mouse liver model. Data set was binary classified using six machine learning models i.e., Logistic Regression, Support vector classification, K-Nearest Neighbors Classifier, Decision Tree Classifier, Random Forest Classifier and Naive Bayes. Based on the accuracy and AUC score, K-Nearest Neighbors Classifier shows the best performance. This is a preliminary study to understand the feasibility of using electrical property such as complex permittivity as a biomarker to classify normal and fibrotic liver of diseased mouse model using machine learning models. The result of this work shows that the machine learning models can be used to distinguish between healthy and diseased liver with more than 80% accuracy. This technology shows immense possibility to expand in future to quantify disease severity and develop non-invasive diagnostic tools.

Original language	English (US)
Title of host publication	Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022
Editors	Donald Adjeroh, Qi Long, Xinghua Shi, Fei Guo, Xiaohua Hu, Srinivas Aluru, Giri Narasimhan, Jianxin Wang, Mingon Kang, Ananda M. Mondal, Jin Liu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2696-2703
Number of pages	8
ISBN (Electronic)	9781665468190
DOIs	https://doi.org/10.1109/BIBM55620.2022.9995397
State	Published - 2022
Event	2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022 - Las Vegas, United States Duration: Dec 6 2022 → Dec 8 2022

Publication series

Name	Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

Conference

Conference	2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022
Country/Territory	United States
City	Las Vegas
Period	12/6/22 → 12/8/22

Keywords

Artificial Intelligence
complex permittivity
dielectric properties
fibrosis
liver
machine learning

ASJC Scopus subject areas

Psychiatry and Mental health
Information Systems and Management
Biomedical Engineering
Medicine (miscellaneous)
Cardiology and Cardiovascular Medicine
Health Informatics

Access to Document

10.1109/BIBM55620.2022.9995397

Cite this

Samaddar, P., Samadder, P., Baraskar, B., Anvekar, P., Khanal, S., Gaddam, S., Roy, S., Mitra, D., Kostallari, E., & Arunachalam, S. P. (2022). Machine Learning Models to Classify Normal and Fibrotic Mouse Liver Model using Dielectric Properties. In D. Adjeroh, Q. Long, X. Shi, F. Guo, X. Hu, S. Aluru, G. Narasimhan, J. Wang, M. Kang, A. M. Mondal, & J. Liu (Eds.), Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022 (pp. 2696-2703). (Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBM55620.2022.9995397

Machine Learning Models to Classify Normal and Fibrotic Mouse Liver Model using Dielectric Properties. / Samaddar, Poulami; Samadder, Poushali; Baraskar, Bhavana et al.
Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022. ed. / Donald Adjeroh; Qi Long; Xinghua Shi; Fei Guo; Xiaohua Hu; Srinivas Aluru; Giri Narasimhan; Jianxin Wang; Mingon Kang; Ananda M. Mondal; Jin Liu. Institute of Electrical and Electronics Engineers Inc., 2022. p. 2696-2703 (Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Samaddar, P, Samadder, P, Baraskar, B, Anvekar, P, Khanal, S, Gaddam, S, Roy, S, Mitra, D, Kostallari, E & Arunachalam, SP 2022, Machine Learning Models to Classify Normal and Fibrotic Mouse Liver Model using Dielectric Properties. in D Adjeroh, Q Long, X Shi, F Guo, X Hu, S Aluru, G Narasimhan, J Wang, M Kang, AM Mondal & J Liu (eds), Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022. Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Institute of Electrical and Electronics Engineers Inc., pp. 2696-2703, 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, United States, 12/6/22. https://doi.org/10.1109/BIBM55620.2022.9995397

Samaddar P, Samadder P, Baraskar B, Anvekar P, Khanal S, Gaddam S et al. Machine Learning Models to Classify Normal and Fibrotic Mouse Liver Model using Dielectric Properties. In Adjeroh D, Long Q, Shi X, Guo F, Hu X, Aluru S, Narasimhan G, Wang J, Kang M, Mondal AM, Liu J, editors, Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 2696-2703. (Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022). doi: 10.1109/BIBM55620.2022.9995397

Samaddar, Poulami ; Samadder, Poushali ; Baraskar, Bhavana et al. / Machine Learning Models to Classify Normal and Fibrotic Mouse Liver Model using Dielectric Properties. Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022. editor / Donald Adjeroh ; Qi Long ; Xinghua Shi ; Fei Guo ; Xiaohua Hu ; Srinivas Aluru ; Giri Narasimhan ; Jianxin Wang ; Mingon Kang ; Ananda M. Mondal ; Jin Liu. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 2696-2703 (Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022).

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abstract = "In this work dielectric permittivity was used to classify between normal and fibrotic mouse liver model. Data set was binary classified using six machine learning models i.e., Logistic Regression, Support vector classification, K-Nearest Neighbors Classifier, Decision Tree Classifier, Random Forest Classifier and Naive Bayes. Based on the accuracy and AUC score, K-Nearest Neighbors Classifier shows the best performance. This is a preliminary study to understand the feasibility of using electrical property such as complex permittivity as a biomarker to classify normal and fibrotic liver of diseased mouse model using machine learning models. The result of this work shows that the machine learning models can be used to distinguish between healthy and diseased liver with more than 80% accuracy. This technology shows immense possibility to expand in future to quantify disease severity and develop non-invasive diagnostic tools.",

keywords = "Artificial Intelligence, complex permittivity, dielectric properties, fibrosis, liver, machine learning",

author = "Poulami Samaddar and Poushali Samadder and Bhavana Baraskar and Priyanka Anvekar and Shalil Khanal and Sunil Gaddam and Sayan Roy and Dipankar Mitra and Enis Kostallari and Arunachalam, {Shivaram P.}",

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year = "2022",

doi = "10.1109/BIBM55620.2022.9995397",

language = "English (US)",

series = "Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2696--2703",

editor = "Donald Adjeroh and Qi Long and Xinghua Shi and Fei Guo and Xiaohua Hu and Srinivas Aluru and Giri Narasimhan and Jianxin Wang and Mingon Kang and Mondal, {Ananda M.} and Jin Liu",

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AU - Samaddar, Poulami

AU - Samadder, Poushali

AU - Baraskar, Bhavana

AU - Anvekar, Priyanka

AU - Khanal, Shalil

AU - Gaddam, Sunil

AU - Roy, Sayan

AU - Mitra, Dipankar

AU - Kostallari, Enis

AU - Arunachalam, Shivaram P.

PY - 2022

Y1 - 2022

N2 - In this work dielectric permittivity was used to classify between normal and fibrotic mouse liver model. Data set was binary classified using six machine learning models i.e., Logistic Regression, Support vector classification, K-Nearest Neighbors Classifier, Decision Tree Classifier, Random Forest Classifier and Naive Bayes. Based on the accuracy and AUC score, K-Nearest Neighbors Classifier shows the best performance. This is a preliminary study to understand the feasibility of using electrical property such as complex permittivity as a biomarker to classify normal and fibrotic liver of diseased mouse model using machine learning models. The result of this work shows that the machine learning models can be used to distinguish between healthy and diseased liver with more than 80% accuracy. This technology shows immense possibility to expand in future to quantify disease severity and develop non-invasive diagnostic tools.

AB - In this work dielectric permittivity was used to classify between normal and fibrotic mouse liver model. Data set was binary classified using six machine learning models i.e., Logistic Regression, Support vector classification, K-Nearest Neighbors Classifier, Decision Tree Classifier, Random Forest Classifier and Naive Bayes. Based on the accuracy and AUC score, K-Nearest Neighbors Classifier shows the best performance. This is a preliminary study to understand the feasibility of using electrical property such as complex permittivity as a biomarker to classify normal and fibrotic liver of diseased mouse model using machine learning models. The result of this work shows that the machine learning models can be used to distinguish between healthy and diseased liver with more than 80% accuracy. This technology shows immense possibility to expand in future to quantify disease severity and develop non-invasive diagnostic tools.

KW - Artificial Intelligence

KW - complex permittivity

KW - dielectric properties

KW - fibrosis

KW - liver

KW - machine learning

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ER -

Machine Learning Models to Classify Normal and Fibrotic Mouse Liver Model using Dielectric Properties

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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